![]() ![]() ![]() | ![]() |
![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Note: Links lead to the DBLP on the Web. Glenn Fung Jonathan Stoeckel , Glenn Fung: SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. ICDM 2005 : 410-417 Jinbo Bi , Glenn Fung, Murat Dundar , Bharat Rao : Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005 : 569-572 Glenn Fung, Sathyakama Sandilya , R. Bharat Rao : Rule extraction from linear support vector machines. KDD 2005 : 32-40 Glenn Fung, Rómer Rosales , Balaji Krishnapuram : Learning Rankings via Convex Hull Separation. NIPS 2005 Mehmet Dundar , Glenn Fung, Jinbo Bi , Sathyakama Sandilya , R. Bharat Rao : Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005 Glenn Fung, Olvi L. Mangasarian : Multicategory Proximal Support Vector Machine Classifiers. Machine Learning 59 (1-2): 77-97 (2005) Murat Dundar , Glenn Fung, Luca Bogoni , Michael Macari , A. Megibow , Bharat Rao : A methodology for training and validating a CAD system and potential pitfalls. CARS 2004 : 1010-1014 Pascal Cathier , Senthil Periaswamy , Anna K. Jerebko , Murat Dundar , J. Liang , Glenn Fung, Jonathan Stoeckel , T. Venkata , R. Amara , Arun Krishnan , Bharat Rao , Alok Gupta , E. Vega , Shaked Laks , A. Megibow , Michael Macari , Luca Bogoni : CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. CARS 2004 : 978-982 Glenn Fung, Murat Dundar , Jinbo Bi , Bharat Rao : A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004 Glenn Fung, Olvi L. Mangasarian , Jude W. Shavlik : Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003 : 102-113 Glenn Fung: The disputed federalist papers: SVM feature selection via concave minimization. Richard Tapia Celebration of Diversity in Computing Conference 2003 : 42-46 Glenn Fung, Olvi L. Mangasarian : Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55 (1-2): 39-55 (2003) Glenn Fung, Olvi L. Mangasarian , Jude W. Shavlik : Knowledge-Based Support Vector Machine Classifiers. NIPS 2002 : 521-528 Glenn Fung, Olvi L. Mangasarian : Incremental Support Vector Machine Classification. SDM 2002 Glenn Fung, Olvi L. Mangasarian , Alex J. Smola : Minimal Kernel Classifiers. Journal of Machine Learning Research 3 : 303-321 (2002) Glenn Fung, Olvi L. Mangasarian : Proximal support vector machine classifiers. KDD 2001 : 77-86 Glenn Fung, Olvi L. Mangasarian : Data selection for support vector machine classifiers. KDD 2000 : 64-70 1 [ 10 ] 2 [ 9 ] [ 13 ] [ 16 ] 3 [ 10 ] [ 11 ] 4 [ 10 ] 5 [ 13 ] 6 [ 9 ] [ 10 ] [ 11 ] [ 16 ] 7 [ 10 ] 8 [ 10 ] 9 [ 10 ] 10 [ 14 ] 11 [ 10 ] 12 [ 10 ] 13 [ 10 ] [ 11 ] 14 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 12 ] 15 [ 10 ] [ 11 ] 16 [ 10 ] 17 [ 9 ] [ 10 ] [ 11 ] [ 16 ] 18 [ 13 ] [ 15 ] 19 [ 14 ] 20 [ 13 ] [ 15 ] 21 [ 5 ] [ 8 ] 22 [ 3 ] 23 [ 10 ] [ 17 ] 24 [ 10 ] 25 [ 10 ] ![]() ©2006 Association for Computing Machinery |